--- title: AI Chatbot Development Services | Avinya Labs description: AI chatbot development by Avinya Labs: support and booking assistants grounded in live data, available 24/7, with hand-off to people. ~35% fewer repeat contacts in a delivered travel chatbot. url: /service-pages/service-ai-chatbots.html --- [AI Development](/service-pages/service-ai-development.html) / AI chatbots # AI chatbots grounded in your live data. Support and booking assistants that answer from current data, around the clock, and hand off to a person when needed. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/service-pages/service-ai-chatbots.html#solutions) [~35%Fewer repeat contacts](/case-studies/ai-travel-chatbot.html) [24/7 Coverage](/case-studies/ai-travel-chatbot.html) [Live Inventory-grounded answers](/case-studies/ai-travel-chatbot.html) ## AI chatbot services. Assistants that answer from the right data, not from guesses. ### Customer support assistants Answer common questions instantly, at any hour. ### Booking & transaction help Guide customers through bookings and changes in the conversation. ### Live data grounding Answers drawn from current inventory and records, not stale copies. ### Knowledge base answers Answers grounded in your documentation and policies. ### Human hand-off Pass the conversation to a person with its full context. ### Guardrails Clear limits on what the assistant will and will not answer. ### System integration Connected to booking, CRM and support tools through their APIs. ### Conversation review Logged conversations for quality review and improvement. ### Ongoing tuning Regular updates as your products and policies change. ## Conversational AI we have shipped. Each result comes from a delivered engagement. AI · Travel ### Customer support assistant A support assistant grounded in live inventory data, available around the clock. ~35% fewer repeat contacts Link: /case-studies/ai-travel-chatbot.html AI · Healthcare ### Multi-agent voice AI Live voice agents for scheduling, verification and follow-up calls, escalating to a person when needed. ~50% fewer manual handling cases Link: /case-studies/multi-agent-voice-ai.html AI · Legal ### Research & review assistant Citation-grounded answers, each one traced back to its source document. ~50% faster review time Link: /case-studies/ai-legal-assistant.html ## Need support that answers from live data? [Book a call](https://calendly.com/abbylester/30-mins-meeting) ## From idea to production. Four stages, with a working version reviewed at each one. ### Discovery Map the support journeys, the systems and data involved, and what good looks like. Discovery notesDone - Top questions and requests - Data the answers depend on - When a person should step in ### Scope & architecture Agree the architecture, success measures and delivery milestones. Solution designDone - Conversation design - Data connections - Hand-off rules ### Build Build against real data, with a working version reviewed at each milestone. Working buildDone - Assistant tested on real questions - Answers checked against live data - Review at each milestone ### Ship & support Roll out to production with monitoring and a defined support window. Production rolloutDone - Launch on your channels - Conversation monitoring - Defined support window ## Results from our conversational AI work. Each number links to the engagement it came from. ~35% Fewer repeat contacts Travel chatbot → Link: /case-studies/ai-travel-chatbot.html ~50% Fewer manual handling cases Voice AI → Link: /case-studies/multi-agent-voice-ai.html ~50% Faster review time Legal AI assistant → Link: /case-studies/ai-legal-assistant.html ## Engagement models. Pick the shape that fits where you are. Ongoing ### Dedicated team A dedicated team that works as an extension of yours, from first release to scale. Fixed scope ### Project-based A defined scope, milestones and delivery date for a specific product or workflow. Advisory ### Consulting & advisory Architecture and readiness advice before you commit to a build. ## What our clients say. AI platform for an insurance broker > “Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.” SandraProject lead, Insurance broker Result~2.5x Faster processing speed [Read case study →](/case-studies/ai-platform-insurance-broker.html) AI chatbot for a travel platform > “Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.” LauraCo-founder, Travel platform [Read case study →](/case-studies/ai-travel-chatbot.html) ## AI chatbot FAQs. ### How is this different from a scripted chatbot? It understands free-text questions and answers from your live data and documents, instead of following fixed decision trees. ### How do you stop it giving wrong answers? Answers are grounded in your data, the assistant has clear guardrails, and anything outside scope goes to a person. ### Can it hand off to our team? Yes, with the conversation context attached, so customers do not repeat themselves. ### Which AI models do you use? We evaluate models against your real workflow and choose per task. The architecture is designed so models can change later without rebuilding the product. ### How long does a project take? It depends on scope and integrations. We agree milestones up front and review a working version at each one. ## Ready to turn your vision into reality? Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale. [Book a call](https://calendly.com/abbylester/30-mins-meeting) [See the work](/work/index.html) Or email [contact@avinyalabs.co](mailto:contact@avinyalabs.co)